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Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models

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Bibliographic Details
Published in:Electronics Letters
Format: Online Article RSS Article
Published: 2026
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container_title Electronics Letters
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:31089
institution FRELIP
journal_source_facet Electronics Letters
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
title Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models
title_auth Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models
title_full Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models
title_fullStr Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models
title_full_unstemmed Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models
title_short Multi‐Objective Optimisation of Flight Simulation Device Data Package Based on Neural Network Surrogate Models
title_sort multi‐objective optimisation of flight simulation device data package based on neural network surrogate models
topic Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70554?af=R